{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "[-5.0000000e+00 -4.8000000e+00 -4.6000000e+00 -4.4000000e+00\n -4.2000000e+00 -4.0000000e+00 -3.8000000e+00 -3.6000000e+00\n -3.4000000e+00 -3.2000000e+00 -3.0000000e+00 -2.8000000e+00\n -2.6000000e+00 -2.4000000e+00 -2.2000000e+00 -2.0000000e+00\n -1.8000000e+00 -1.6000000e+00 -1.4000000e+00 -1.2000000e+00\n -1.0000000e+00 -8.0000000e-01 -6.0000000e-01 -4.0000000e-01\n -2.0000000e-01  4.4408921e-15  2.0000000e-01  4.0000000e-01\n  6.0000000e-01  8.0000000e-01  1.0000000e+00  1.2000000e+00\n  1.4000000e+00  1.6000000e+00  1.8000000e+00  2.0000000e+00\n  2.2000000e+00  2.4000000e+00  2.6000000e+00  2.8000000e+00\n  3.0000000e+00  3.2000000e+00  3.4000000e+00  3.6000000e+00\n  3.8000000e+00  4.0000000e+00  4.2000000e+00  4.4000000e+00\n  4.6000000e+00  4.8000000e+00]\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "import numpy as np\n",
    "test_d2 = np.arange(-5, 5, 0.2)\n",
    "print(test_d2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "[-5.0000000e+00 -4.8000000e+00 -4.6000000e+00 -4.4000000e+00\n -4.2000000e+00 -4.0000000e+00 -3.8000000e+00 -3.6000000e+00\n -3.4000000e+00 -3.2000000e+00 -3.0000000e+00 -2.8000000e+00\n -2.6000000e+00 -2.4000000e+00 -2.2000000e+00 -2.0000000e+00\n -1.8000000e+00 -1.6000000e+00 -1.4000000e+00 -1.2000000e+00\n -1.0000000e+00 -8.0000000e-01 -6.0000000e-01 -4.0000000e-01\n -2.0000000e-01  4.4408921e-15  2.0000000e-01  4.0000000e-01\n  6.0000000e-01  8.0000000e-01  1.0000000e+00  1.2000000e+00\n  1.4000000e+00  1.6000000e+00  1.8000000e+00  2.0000000e+00\n  2.2000000e+00  2.4000000e+00  2.6000000e+00  2.8000000e+00\n  3.0000000e+00  3.2000000e+00  3.4000000e+00  3.6000000e+00\n  3.8000000e+00  4.0000000e+00  4.2000000e+00  4.4000000e+00\n  4.6000000e+00  4.8000000e+00]\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "print(test_d2.ravel())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "test_d1 = np.arange(-5, 5, 0.2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "zipedTest = zip(test_d1,test_d2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "-5.0 -5.0\n-4.8 -4.8\n-4.6 -4.6\n-4.3999999999999995 -4.3999999999999995\n-4.199999999999999 -4.199999999999999\n-3.999999999999999 -3.999999999999999\n-3.799999999999999 -3.799999999999999\n-3.5999999999999988 -3.5999999999999988\n-3.3999999999999986 -3.3999999999999986\n-3.1999999999999984 -3.1999999999999984\n-2.9999999999999982 -2.9999999999999982\n-2.799999999999998 -2.799999999999998\n-2.599999999999998 -2.599999999999998\n-2.3999999999999977 -2.3999999999999977\n-2.1999999999999975 -2.1999999999999975\n-1.9999999999999973 -1.9999999999999973\n-1.7999999999999972 -1.7999999999999972\n-1.599999999999997 -1.599999999999997\n-1.3999999999999968 -1.3999999999999968\n-1.1999999999999966 -1.1999999999999966\n-0.9999999999999964 -0.9999999999999964\n-0.7999999999999963 -0.7999999999999963\n-0.5999999999999961 -0.5999999999999961\n-0.3999999999999959 -0.3999999999999959\n-0.19999999999999574 -0.19999999999999574\n4.440892098500626e-15 4.440892098500626e-15\n0.20000000000000462 0.20000000000000462\n0.4000000000000048 0.4000000000000048\n0.600000000000005 0.600000000000005\n0.8000000000000052 0.8000000000000052\n1.0000000000000053 1.0000000000000053\n1.2000000000000055 1.2000000000000055\n1.4000000000000057 1.4000000000000057\n1.6000000000000059 1.6000000000000059\n1.800000000000006 1.800000000000006\n2.000000000000006 2.000000000000006\n2.2000000000000064 2.2000000000000064\n2.4000000000000066 2.4000000000000066\n2.6000000000000068 2.6000000000000068\n2.800000000000007 2.800000000000007\n3.000000000000007 3.000000000000007\n3.2000000000000064 3.2000000000000064\n3.4000000000000075 3.4000000000000075\n3.6000000000000085 3.6000000000000085\n3.800000000000008 3.800000000000008\n4.000000000000007 4.000000000000007\n4.200000000000008 4.200000000000008\n4.400000000000009 4.400000000000009\n4.6000000000000085 4.6000000000000085\n4.800000000000008 4.800000000000008\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "for x,y in zipedTest:\n",
    "    print(x,y)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "<zip object at 0x000002B81DF99D48>\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "print(zipedTest)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "text": [
      "[]\n"
     ],
     "output_type": "stream"
    }
   ],
   "source": [
    "print(list(zipedTest))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
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  "language_info": {
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    "version": 2
   },
   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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  "pycharm": {
   "stem_cell": {
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 },
 "nbformat": 4,
 "nbformat_minor": 0
}